InoteveraGaidhi rinotevera
Yakagadzikana Audio Latent Diffusion
AI Yenyaya
Chidzidzo cheAI yeRuzha
DiffWave Diffusion Vocoder
DiffWave iri diffusion-based vocoder inogadzira odhiyo nekudzokorodza kudzokorodza ruzha rusingaite kuita waveform, yakarongedzwa pane mel-spectrogram.
Teerera kugwaro iriAI-yakarondedzerwa · ~2 min
Pa peji ino2 min verenga
Pfupiso
Izvo zvakaunza mamodheru ekusiyanisa kutaura kwepamusoro-kutendeseka, kukwikwidza maGAN uye WaveNet pasina kudzidziswa kweanopikisa.
Kudzika Kwakadzika
DiffWave, yakaunzwa naKong et al. muna 2020, inoshandisa denoising diffusion probabilistic modhi chimiro kune mbishi odhiyo. Panguva yekudzidziswa zvishoma nezvishoma inowedzera Gaussian ruzha kune yakachena waveform pamusoro pematanho mazhinji, yobva yadzidza network yekufanotaura uye kubvisa iyo ruzha padanho rega rega. Panguva yechizvarwa inotanga kubva kune ruzha rwakachena uye inomhanyisa maitiro ekudzokera kumashure, akaiswa pane mel-spectrogram, kudzoreredza kutaura kwakachena. Iyo musana ndeye-isina-autoregressive, dilated-convolution network yakafanana neWaveNet asi kufanotaura ruzha kwete masampuli. DiffWave inoenderana nemavokodha akasimba mumhando uye yakasimba zvakanyanya, kunyange kuburitsa zvine musoro kutaura kusingaite uye mhedzisiro inowirirana kune vese vatauri. Iyo huru yekutengeserana ndeyekumhanyisa: kusaita sampling inoda gumi nemaviri kusvika kuzviuru zvematanho, kunyangwe masheji ekukurumidza anocheka izvi kusvika mashoma kusvika matanhatu.
Kuitwa muNyika yeChokwadi
High-fidelity neural text-to-speech back ends inodzivirira kusagadzikana kweGAN kudzidziswa
Kugadzirwa kwekutaura kusingaverengeki kwekuwedzera kwedata uye tsvakiridzo yekuteerera
Mutauri-robust voice synthesis apo modhi imwe inobata manzwi akawanda nguva dzose
Muedzo wekukurumidza-sampling diffusion yekutsvaga, kushandisa mapfupi masheti eruzha kune chaiyo-nguva yekuteerera
Ramangwana reDiffWave Diffusion Vocoder
DiffWave yakatanga kupararira mavhokodha uye vanotsiva vanokurumidza sePriorGrad uye FastDiff iyo slash nhanho kuverenga. Munda uri kuchinjika pane distillation uye consistency-model maitiro ayo anovavarira nhanho-imwe diffusion sampling, kuvhara iyo yekumhanyisa gap neGAN mavokodha uku uchichengeta diffusion yakagadzikana kudzidziswa uye kusimba. Tarisira mazano ekupararira kuti aenderere mberi mumimhanzi, neural codecs, uye chizvarwa chepasirese redhiyo uko kunofanirwa kuvharwa.
Kuzvishandisa
Nei zvichikosha
- Svika uye svika. Inonatsiridza kusvikika kuburikidza nekunyora, kurondedzera, uye mazwi ekubatanidza.
- Mutengo uye bhajeti. Zvikwata zveMedia zvinogona kutumira odhiyo yakakwenenzverwa nekukurumidza nemabhajeti madiki.
- Kumhanya uye chiyero. Masisitimu anotarisana nevatengi anogona kugadzirisa kutaurirana kwekutaura pamwero mukuru.
Chenjera
- Kushandisa izwi zvisizvo uye njodzi dzekuedzesera dzinowedzera kana chibvumirano chisipo.
- Kururama kunogona kudonha mumitauro, mataurirwo, kana nharaunda dzine ruzha.
- Synthetic audio inogona kukanganisa kutaura kwechokwadi isina mavara akajeka.
Matanho anotevera
- Wana mvumo yakajeka yekutora inzwi, kugadzira, uye kushandisa zvakare.
- Yedza mhando pavatauri vakasiyana uye mamiriro ekumashure.
- Tsanangura apo munhu anofanira kuongorora kana kubvumidza zvabuda.
- Label synthetic odhiyo uye chengetedza marekodhi ekuzvidavirira.
Ramba Uchiongorora
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Zviedze iwe pachako
Take the DiffWave Diffusion Vocoder quiz
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Mibvunzo inowanzo bvunzwa
Chii chinonzi DiffWave Diffusion Vocoder?
DiffWave iri diffusion-based vocoder inogadzira odhiyo nekudzokorodza kudzokorodza ruzha rusingaite kuita waveform, yakarongedzwa pane mel-spectrogram. Izvo zvakaunza mamodheru ekusiyanisa kutaura kwepamusoro-kutendeseka, kukwikwidza maGAN uye WaveNet pasina kudzidziswa kweanopikisa.
Ko DiffWave inogadzira sei odhiyo panguva yekufungidzira?
DiffWave inotanga kubva kuGaussian ruzha uye inomhanyisa reverse diffusion process, ichidzokorora denoising ichimisikidzwa pane mel-spectrogram, kugadzira waveform.
Chii chinonzi DiffWave network chinonyatso dzidza kufanotaura panguva yekudzidziswa?
DiffWave inodzidzisa network kufanotaura ruzha rweGaussian rwakawedzerwa padanho rakasarudzika rakasarudzwa rekuparadzira, uchishandisa uremu hweL2 kurasikirwa.
Chii chinonzi DiffWave's main practical drawback ichienzaniswa neGAN vocoders?
Naive diffusion sampling inoda akawanda anodzosera matanho; kunyangwe zvirongwa zvekutsanya zvichibatsira, iyo iterative process ndiyo huru yekumhanyisa mutengo.
Ndeupi mukana une DiffWave pamusoro peGAN vocoder mukudzidziswa?
Mamodheru ekusiyana anodzidziswa aine chinangwa chakatsiga chekudzoreredza, achibvisa kusagadzikana uko kudzidziswa kweanopikisa GAN kunogona kutambura.
Ndechipi chivakwa chinofanana neDiffWave's noise-prediction network?
DiffWave inoshandisa iyo isiri-autoregressive musana weiyo dilated convolutions yakafanana neWaveNet, asi inofanotaura ruzha kwete maodhiyo samples.
Ramba uchidzidza
Mazano anoenderana
Mamwe madhairekitori akasarudzirwa nyaya iyi